If RSAC 2025 was the year the industry debated AI’s role in security, RSAC 2026 was the year the debate ended. Agentic AI, with its autonomous systems that perceive, decide, and act without human intervention, dominated every keynote, expo-floor conversation, and press release at this year’s conference.
The central tension driving the week was not whether enterprises would deploy AI agents, but whether the security industry could build governance and protection fast enough to keep pace with that deployment.
The answer, at least as reflected in the announcement volume from the industry’s largest vendors, is that the race is on.
Securing the Agentic Enterprise: Every Major Platform Moved
The volume and consistency of agentic security announcements at RSAC 2026 show that the major platform vendors have made a coordinated architectural bet that AI agents represent the next primary attack surface.
Discovery, runtime protection, and identity governance for non-human actors emerged as the three pillars every vendor addressed.
Here’s a quick look at what the major cybersecurity platforms announced at the event:
- CrowdStrike: Falcon platform was extended with AI Runtime Protection and Shadow AI Discovery, which detect AI agents across endpoints, SaaS, and cloud environments. The company reported that its Shadow AI Discovery already identifies more than 1,800 AI applications running on enterprise devices. CrowdStrike also launched Falcon Data Security for real-time data theft prevention and Agentic MDR, which deploys intelligent agents into managed detection and response workflows.
- Palo Alto Networks: Prisma AIRS 3.0 was introduced to secure the full agentic AI lifecycle, from discovery through runtime governance. The company also launched the next generation of Prisma Browser, with expanded enforcement of AI activity, and a new SMB-focused Prisma Browser for Business variant.
- Cisco: In a keynote, Cisco president and CPO Jeetu Patel challenged the industry to reimagine security for the agentic era, announcing open-source tools including DefenseClaw. Cisco framed the problem as bidirectional: protecting agents from the world and protecting the world from agents, with MCP policy enforcement and agent discovery as the technical foundations. This is all addressed in Cisco’s exapnded Secure AI Factory.
- SentinelOne: Unveiled Prompt AI Agent Security with MCP governance, continuing the platform’s expansion into non-human identity protection alongside its established endpoint and cloud security capabilities.
Identity and Access Governance Expands to Cover Non-Human Actors
In the world of identity governance, the concept of “who has access” now encompasses autonomous systems acting alongside (and sometimes on behalf of) human users.
Vendors across identity, access management, and privilege security addressed this shift with concrete product launches.
- Microsoft: Introduced the Zero Trust for AI (ZT4AI) framework, and announced Agent 365 for general availability on May 1. Microsoft also highlighted Edge for Business shadow AI protections, giving IT policy control over AI agent usage directly within the enterprise browser.
- BeyondTrust: Rolled out endpoint privilege enforcement for AI coworkers. BeyondTrust’s Phantom Labs simultaneously published research showing that most enterprises run shadow AI agents with privileged access invisible to security teams, highlighting the urgency of the privilege management conversation.
- 1Password: Launched Unified Access, a platform that enables organizations to discover, secure, and audit AI agent credential access at the moment of use. Launch partners include Anthropic, Cursor, GitHub, Perplexity, and Vercel.
- Varonis: CEO Yaki Faitelson delivered an RSAC keynote on the agentic security revolution and debuted the Atlas AI security platform. Varonis framed data governance as the critical control layer for agentic AI, positioning Atlas to address agent access to sensitive enterprise data at scale.
Google and Threat Intelligence: Defense at Machine Speed
Google used RSAC 2026 to advance its agentic security operations center narrative, combining Mandiant threat intelligence, Gemini reasoning, and the recently completed Wiz acquisition into a comprehensive security platform story.
The company’s announcements reflect a broader industry conviction that as attack timelines shorten, human-speed response is no longer viable:
- Google Security Operations: New agentic automation capabilities entered preview, embedding Triage and Investigation agents directly into SOC workflows. These agents autonomously investigate alerts, gather evidence, and produce verdicts with explanations, reducing analyst time on low-value alert triage.
- Mandiant M-Trends 2026: Published alongside RSAC, the annual threat report found that adversaries have shifted from experimental AI use to deploying adaptive tools and autonomous agents capable of rewriting their own code in real time. The window for defenders to intervene has collapsed to 22 seconds in some attack patterns.
- Wiz AI-Application Protection Platform (AI-APP): Now integrated under the Google Cloud umbrella following the completion of the $32 billion acquisition, Wiz introduced red, blue, and green security agents to secure AI application development and deployment across multi-cloud environments.
- CrowdStrike Falcon Next-Gen SIEM: CrowdStrike announced support for ingesting and correlating Microsoft Defender for Endpoint telemetry without requiring additional sensors. The integration broadens SIEM adoption among Microsoft-centric organizations and positions CrowdStrike to compete in environments where a full platform migration is not on the table.
The convergence of threat intelligence, autonomous response, and cross-platform telemetry integration at RSAC 2026 aligns with industry consensus that the SOC of the near future operates with agents as primary responders, with human analysts reserved for high-judgment decisions.
Final Thoughts
RSAC 2026 produced an industry consensus, rare in cybersecurity, that agentic AI governance is the defining security problem of the current cycle, and that every tier of the market (platform vendors, identity specialists, threat intelligence providers, and startups) is organizing its product strategy around it.
The gap the week exposed is not in detection or runtime protection (both received substantial investment from vendors), but in the foundational governance infrastructure needed to make those controls auditable and enforceable.
Organizations are making agentic AI architectural decisions now, and those decisions will define security posture for years. The vendors who build credible governance infrastructure, not just discovery dashboards, will own the next phase of this market.
